{"type":"data","nodes":[{"type":"data","data":[{"lab":1,"legalFooterLinks":37},{"identity":2,"contacts":13,"office_hours":30,"web":32,"languages":34,"locale":36},{"name":3,"short_name":4,"description":5,"organisation":6,"organisation_url":7,"organisation_logo":8,"university":9,"university_url":10,"university_logo":11,"established":12},"Human-Centered Intelligent Systems Lab","HCIS Lab","We are shaping the future of automotive technology through intelligent systems that seamlessly integrate human needs with cutting-edge AI innovation.","AImotion Bavaria","https://www.thi.de/forschung/aimotion/","/content/lab/aimotion-bavaria.png","Ingolstadt University of Applied Sciences","https://www.thi.de/","/content/lab/thi.png",2025,{"addresses":14,"emails":21,"phones":24,"primary_type":16,"primary_email":23,"emailsByType":27,"addressesByType":28,"phonesByType":29},[15],{"type":16,"title":9,"street":17,"city":18,"postal_code":19,"country":20},"office","Esplanade 10","Ingolstadt","85049","Germany",[22],{"type":16,"email":23},"hcis@thi.de",[25],{"type":16,"number":26},"+49 841 9348 0",{"office":23},{"office":15},{"office":26},{"days":31,"timezone":-1},{},{"social":33},{},["Set",35,36],"DE","EN",[38,42,47],{"slug":39,"name":40,"label":40,"href":41},"datenschutzerklaerung","Datenschutzerklärung","/legal/privacy/datenschutzerklaerung",{"slug":43,"name":44,"label":45,"href":46},"barrierefreiheitserklaerung","Erklärung zur Barrierefreiheit","Barrierefreiheit","/legal/accessibility/barrierefreiheitserklaerung",{"slug":48,"name":49,"label":49,"href":50},"impressum","Impressum","/legal/impressum"],"uses":{}},{"type":"data","data":[{"person":1,"publications":28,"projects":131,"blogPosts":174,"teaching":203},{"slug":2,"firstname":3,"lastname":4,"title":5,"email":6,"role":7,"quote":8,"image":9,"cv_podcast":10,"interests":11,"skills":12,"social":23,"updatedAt":25,"isPublished":26,"html":27},"ignacio-alvarez","Ignacio","Alvarez","Prof. Dr.","ignacio.alvarez@thi.de","Lab Director","Pioneering the next wave of human-centric AI to build a safer, more intelligent mobility future","/content/people/ignacio-alvarez/profile.png","/static/assets/people/ignacio-alvarez/cv-podcast.mp3",[],[13,14,15,16,17,18,19,20,21,22],"Automated Driving","Artificial Intelligence & Machine Learning","Generative AI","User-Centered Design","Human–Computer Interaction (HCI)","Functional Safety","Connected Vehicles (V2X)","Automation","Verification & Validation","Digital Twins & Large Scale Simulation",{"website":24},"https://ignacioalvmar.com/","2025-11-02",true,"\u003Cp>Ignacio Alvarez is Professor of Human-Centered Intelligent Systems at Ingolstadt University of Applied Sciences (THI). His research explores the intersection of artificial intelligence, automotive engineering, and human–computer interaction. In 2025, he was awarded a Top-Professorship under Bavaria’s High-Tech Agenda, recognizing his leadership in shaping the future of intelligent mobility.\u003C/p>\n\u003Cp>Before joining THI, Prof. Alvarez spent more than a decade at Intel Labs as Principal Engineer in Automated Driving, where he led projects in AI safety, vehicle communications, and user experience. His work contributed to Intel Automotive and Mobileye products and to open-source simulation platforms such as GENIVI and CARLA. Earlier in his career, he was Systems Architect leading BMW’s Connected Drive program, developing next-generation telematics, speech technologies, and smartphone integration.\u003C/p>\n\u003Cp>He holds over 160 patents, has published more than 50 research articles, and has played an active role in international standardization efforts on vehicle-to-everything (V2X) systems and automated vehicle safety. Beyond his research, Prof. Alvarez is active in the scientific community as chair-elect of ACM’s AutoUI Steering Committee and as a Senior Member of IEEE, ITSS, and SAE.\u003C/p>",[29,57,79,100,116],{"slug":30,"title":31,"type":32,"authors":33,"venue":37,"publisher":38,"year":39,"month":40,"location":41,"doi":42,"pdf":43,"author_slugs":44,"project_slugs":47,"tags":49,"updatedAt":52,"isPublished":26,"html":53,"abstractHtml":54,"apa":55,"bibtexPath":56},"wearable-fusion","On‑Device Fusion of Wearable Signals for Emotion Estimation","inproceedings",[34,35,36],"Ignacio Álvarez","Laura Radetzky","Lena Wolf","MobileHCI","ACM",2025,9,"Copenhagen, Denmark","10.1145/3744335.3758490","/publications/wearable-fusion-2025.pdf",[2,45,46],"laura-radetzky","lena-wolf",[48],"budget-app",[50,51],"HCI","Systems","2025-11-11","\u003Ch2 id=\"abstract\">\u003Ca href=\"#abstract\">Abstract\u003C/a>\u003C/h2>\n\u003Cp>This paper reports methods, results, and design implications for intelligent, human‑centered systems.\u003C/p>","\u003Cp>This paper reports methods, results, and design implications for intelligent, human‑centered systems.\u003C/p>","Huber, V. B., Ertl, F. L., Schlaak, A., Simson, H., & Alvarez, I. (2025). Can an AI Voice Assistant reduce Stress for Drivers confronted with warning Signals? In Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 106–113). AutomotiveUI Adjunct ’25: 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM. https://doi.org/10.1145/3744335.3758490\n","C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\wearable-fusion\\citation.bib",{"slug":58,"title":59,"type":60,"authors":61,"venue":66,"publisher":38,"year":39,"month":67,"location":68,"doi":42,"pdf":69,"author_slugs":70,"project_slugs":75,"tags":77,"updatedAt":52,"isPublished":26,"html":53,"abstractHtml":54,"apa":55,"bibtexPath":78},"accessibility-hci25","Beyond Checklists: Pragmatic Accessibility in HCI Curricula","article",[62,34,63,64,65],"Tuğcan Önbaş","Monika Szuban","Paul Bauer","Maria Kreutz","Interactions",6,"New York, USA","/publications/accessibility-hci25-2025.pdf",[2,71,72,73,74],"maria-kreutz","monika-szuban","tugcan-onbas","paul-bauer",[76],"crisis-mapping-app",[50,51],"C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\accessibility-hci25\\citation.bib",{"slug":80,"title":81,"type":82,"authors":83,"venue":87,"publisher":38,"year":39,"month":88,"location":89,"doi":42,"pdf":90,"author_slugs":91,"project_slugs":95,"tags":98,"updatedAt":52,"isPublished":26,"html":53,"abstractHtml":54,"apa":55,"bibtexPath":99},"budget-app-ux","Budget: A Collaborative Finance App for Apple Platforms","demo",[36,84,34,85,86],"Vanchha Chandrayan","Amir Haddad","Anna Schmidt","CHI",5,"Yokohama, Japan","/publications/budget-app-ux-2025.pdf",[2,92,93,94,46],"vanchha-chandrayan","amir-haddad","anna-schmidt",[96,97],"ar-navigation-lab","emotion-aware-cabin-agent",[50,51],"C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\budget-app-ux\\citation.bib",{"slug":101,"title":102,"type":103,"authors":104,"publisher":106,"year":39,"month":107,"location":108,"doi":42,"pdf":109,"author_slugs":110,"project_slugs":112,"tags":114,"updatedAt":52,"isPublished":26,"html":53,"abstractHtml":54,"apa":55,"bibtexPath":115},"simulation-hub-preprint","Simulation Hub: A Unified Pipeline for CARLA and Unity Studies","preprint",[84,36,105,34,62],"Julia Podlipensky","arXiv",3,"—","/publications/simulation-hub-preprint-2025.pdf",[2,111,73,92,46],"julia-podlipensky",[113],"campusgo",[50,51],"C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\simulation-hub-preprint\\citation.bib",{"slug":117,"title":118,"type":32,"authors":119,"venue":121,"publisher":38,"year":122,"month":40,"location":123,"doi":42,"pdf":124,"author_slugs":125,"project_slugs":127,"tags":129,"updatedAt":52,"isPublished":26,"html":53,"abstractHtml":54,"apa":55,"bibtexPath":130},"gamified-tor-automotiveui24","Gamified Take‑Over Requests Do Not Harm Response Time",[34,62,120,36,105],"Karthik Sai Pasupuleti","AutomotiveUI",2024,"Stanford, USA","/publications/gamified-tor-automotiveui24-2024.pdf",[2,111,126,73,46],"karthik-sai-pasupuleti",[128],"driver-gamification-study",[50,51],"C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\gamified-tor-automotiveui24\\citation.bib",[132,149,164],{"slug":133,"title":134,"overview":135,"status":136,"leads":137,"assistants":138,"start_date":139,"tags":140,"links":144,"publications":147,"updatedAt":25,"isPublished":26,"html":148},"driver-drowsiness-detection","Driver Drowsiness Detection","Mobile companion for THI commuters that blends shuttle tracking, micro-incentives for eco-friendly travel, and route planning across modes.","planning",[73,2],[],"2025-11-01",[141,142,143],"Mobility","Routing","Behavior Change",{"website":145,"github":146},"https://example.com/driver-drowsiness-detection","https://github.com/hcis/driver-drowsiness-detection",[],"\u003Ch2 id=\"objectives\">\u003Ca href=\"#objectives\">Objectives\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Increase active and shared trips on campus\u003C/li>\n\u003Cli>Provide reliable, low-friction route guidance\u003C/li>\n\u003Cli>Reward sustainable choices with transparent points\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"approach\">\u003Ca href=\"#approach\">Approach\u003C/a>\u003C/h2>\n\u003Cp>iOS-first prototype with modular data connectors (GTFS-RT for shuttles, bicycle infrastructure layers), experiment framework for A/B nudges.\u003C/p>\n\u003Ch2 id=\"results\">\u003Ca href=\"#results\">Results\u003C/a>\u003C/h2>\n\u003Cp>Design sprint complete; data contracts drafted; pilot routes mapped.\u003C/p>\n\u003Ch2 id=\"next-steps\">\u003Ca href=\"#next-steps\">Next Steps\u003C/a>\u003C/h2>\n\u003Cp>User testing with students and staff; publish a public beta roadmap.\u003C/p>",{"slug":150,"title":151,"overview":152,"status":136,"leads":153,"assistants":154,"start_date":155,"tags":156,"links":159,"publications":162,"updatedAt":52,"isPublished":26,"html":163},"accessibility-audit-kit","Accessibility Audit Kit","Automated checks and guided remediations for web and mobile apps.",[126,92],[2,45],"2025-01-15",[50,157,158],"AI","Simulation",{"website":160,"github":161},"https://example.com/accessibility-audit-kit","https://github.com/hcis/accessibility-audit-kit",[],"\u003Ch2 id=\"objectives\">\u003Ca href=\"#objectives\">Objectives\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Robust experimentation\u003C/li>\n\u003Cli>Real‑time insights\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"approach\">\u003Ca href=\"#approach\">Approach\u003C/a>\u003C/h2>\n\u003Cp>Explain methodology, tools, or system setup.\u003Cbr>\nYou can embed code snippets, images, or diagrams here.\u003C/p>\n\u003Ch2 id=\"results\">\u003Ca href=\"#results\">Results\u003C/a>\u003C/h2>\n\u003Cp>Milestones, outcomes, or demo links.\u003C/p>\n\u003Ch2 id=\"next-steps\">\u003Ca href=\"#next-steps\">Next Steps\u003C/a>\u003C/h2>\n\u003Cp>Roadmap, collaborations, and open‑source plans.\u003C/p>",{"slug":96,"title":165,"overview":166,"status":136,"leads":167,"assistants":168,"start_date":155,"tags":169,"links":170,"publications":173,"updatedAt":52,"isPublished":26,"html":163},"AR Navigation Lab","Indoor navigation experiments with UWB beacons and AR overlays.",[73,45],[71,2],[50,157,158],{"website":171,"github":172},"https://example.com/ar-navigation-lab","https://github.com/hcis/ar-navigation-lab",[],[175,191],{"slug":176,"title":177,"authors":178,"external_authors":179,"tags":180,"category":182,"description":183,"cover":184,"attachments":185,"updatedAt":52,"publishedAt":189,"isPublished":26,"html":190},"campusgo-beta","CampusGO enters closed beta",[73,2],[],[50,181],"Research Log","Project Diary","Feature highlights and how to join.","assets/images/default-post-cover.png",[186],{"label":187,"url":188},"PDF version","/blog/campusgo-beta/campusgo-beta.pdf","2025-07-19","\u003Ch2 id=\"blog-content\">\u003Ca href=\"#blog-content\">Blog Content\u003C/a>\u003C/h2>\n\u003Cp>Updates from the field related to [campusgo].\u003C/p>\n\u003Ch3 id=\"citations-for-entities\">\u003Ca href=\"#citations-for-entities\">Citations for Entities\u003C/a>\u003C/h3>\n\u003Cp>We extended \u003Ca href=\"/research/projects/campusgo\" target=\"_self\">CampusGO\u003C/a> and referenced recent work.\u003C/p>",{"slug":192,"title":193,"authors":194,"external_authors":195,"tags":196,"category":182,"description":197,"cover":184,"attachments":198,"updatedAt":52,"publishedAt":201,"isPublished":26,"html":202},"data-viz-crit","Critiquing Dashboards for Decisions",[71,2],[],[50,181],"What makes a viz actionable?",[199],{"label":187,"url":200},"/blog/data-viz-crit/data-viz-crit.pdf","2025-08-10","\u003Ch2 id=\"blog-content\">\u003Ca href=\"#blog-content\">Blog Content\u003C/a>\u003C/h2>\n\u003Cp>Updates from the field related to [data-visualization].\u003C/p>\n\u003Ch3 id=\"citations-for-entities\">\u003Ca href=\"#citations-for-entities\">Citations for Entities\u003C/a>\u003C/h3>\n\u003Cp>We extended data-visualization and referenced recent work.\u003C/p>",[204,231,238,246,271,291],{"slug":205,"title":206,"description":207,"key_topics":208,"type":214,"level":215,"code":216,"ects":67,"language":217,"instructors":218,"assistants":219,"period":220,"weekday":221,"time":222,"room":223,"duration_weeks":224,"capacity":225,"materials":226,"updatedAt":25,"isPublished":26,"html":230},"mock-applied-ux-research-lab-ss26","Applied UX Research Lab","Hands-on studio focusing on planning, running, and analyzing UX studies with real stakeholders.",[209,210,211,212,213],"UX Research in Practice","User Studies And Ethics","Qualitative Methods In HCI","Data Analysis Techniques","Stakeholder Engagement - Communication","lab","Master","UXD-672","EN",[2],[73],"SS26","Friday","10:00–13:00","Lab B",12,20,[227],{"label":228,"url":229},"Lab Handbook","/assets/teaching/aur-ss26/handbook.pdf","\u003Ch2 id=\"overview\">\u003Ca href=\"#overview\">Overview\u003C/a>\u003C/h2>\n\u003Cp>Hands-on studio focusing on planning, running, and analyzing UX studies with real stakeholders.\u003C/p>\n\u003Ch2 id=\"learning-outcomes\">\u003Ca href=\"#learning-outcomes\">Learning Outcomes\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Translate stakeholder goals into testable questions\u003C/li>\n\u003Cli>Collect and analyze qualitative data reliably\u003C/li>\n\u003Cli>Communicate evidence to product teams\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"assessment\">\u003Ca href=\"#assessment\">Assessment\u003C/a>\u003C/h2>\n\u003Cp>Study plan (30%), field execution (40%), final report & presentation (30%)\u003C/p>\n\u003Ch2 id=\"schedule\">\u003Ca href=\"#schedule\">Schedule\u003C/a>\u003C/h2>\n\u003Cp>Weeks 1–4: Planning & ethics\u003Cbr>\nWeeks 5–8: Data collection\u003Cbr>\nWeeks 9–12: Analysis & reporting\u003C/p>",{"slug":232,"title":206,"description":207,"key_topics":233,"type":214,"level":215,"code":216,"ects":67,"language":217,"instructors":234,"assistants":235,"period":220,"weekday":221,"time":222,"room":223,"duration_weeks":224,"capacity":225,"materials":236,"updatedAt":25,"isPublished":26,"html":230},"mock-teaching-demo-2",[209,210,211,212,213],[2],[73],[237],{"label":228,"url":229},{"slug":239,"title":206,"description":207,"key_topics":240,"type":214,"level":215,"code":216,"ects":67,"language":217,"instructors":241,"assistants":242,"period":243,"weekday":221,"time":222,"room":223,"duration_weeks":224,"capacity":225,"materials":244,"updatedAt":25,"isPublished":26,"html":230},"mock-teaching-demo",[209,210,211,212,213],[2],[73],"WS2728",[245],{"label":228,"url":229},{"slug":247,"title":248,"description":249,"key_topics":250,"type":254,"level":215,"code":255,"ects":67,"language":217,"instructors":256,"assistants":257,"period":220,"weekday":258,"time":259,"room":260,"duration_weeks":261,"capacity":262,"materials":263,"updatedAt":52,"isPublished":26,"html":270},"data-visualization","Data Visualization for HCI","Narrative visualization, dashboards, and evaluation for decision‑making.",[251,252,253],"Design","Prototyping","Evaluation","seminar","DVHCI01",[92,73],[2],"Thursday","14:00–16:00","E1.12",14,40,[264,267],{"label":265,"url":266},"Syllabus (PDF)","/teaching/data-visualization/syllabus.pdf",{"label":268,"url":269},"Lecture Website","https://example.com/data-visualization/slides","\u003Ch2 id=\"overview\">\u003Ca href=\"#overview\">Overview\u003C/a>\u003C/h2>\n\u003Cp>Brief summary of the course, its learning objectives, and scope.\u003C/p>\n\u003Ch2 id=\"learning-outcomes\">\u003Ca href=\"#learning-outcomes\">Learning Outcomes\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Apply methods\u003C/li>\n\u003Cli>Build prototypes\u003C/li>\n\u003Cli>Evaluate UX at scale\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"assessment\">\u003Ca href=\"#assessment\">Assessment\u003C/a>\u003C/h2>\n\u003Cp>Projects, lab assignments, and a final presentation.\u003C/p>\n\u003Ch2 id=\"schedule\">\u003Ca href=\"#schedule\">Schedule\u003C/a>\u003C/h2>\n\u003Cp>Week‑by‑week labs and critiques.\u003C/p>",{"slug":272,"title":273,"description":274,"type":275,"level":215,"code":276,"ects":88,"language":217,"instructors":277,"assistants":279,"period":281,"weekday":282,"time":259,"room":283,"duration_weeks":261,"capacity":284,"materials":285,"updatedAt":25,"isPublished":26,"html":290},"mock-multimodal-interactive-systems-ws25","Multimodal Interactive Systems","Graduate introduction to designing and evaluating systems that combine speech, vision, haptics, and context data.","lecture","UXD-541",[73,278,2],"prof-jane-smith",[280],"hcis-research-team","WS2526","Tuesday","E0.18",30,[286,288],{"label":265,"url":287},"/assets/teaching/mis-ws25/syllabus.pdf",{"label":268,"url":289},"https://example.com/mis","\u003Ch2 id=\"overview\">\u003Ca href=\"#overview\">Overview\u003C/a>\u003C/h2>\n\u003Cp>Graduate introduction to designing and evaluating systems that combine speech, vision, haptics, and context data.\u003C/p>\n\u003Ch2 id=\"learning-outcomes\">\u003Ca href=\"#learning-outcomes\">Learning Outcomes\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Explain trade-offs of multimodal fusion\u003C/li>\n\u003Cli>Design low-distraction feedback for safety-critical contexts\u003C/li>\n\u003Cli>Run and analyze small simulator studies\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"assessment\">\u003Ca href=\"#assessment\">Assessment\u003C/a>\u003C/h2>\n\u003Cp>Project (50%), weekly labs (30%), reflection (20%)\u003C/p>\n\u003Ch2 id=\"schedule\">\u003Ca href=\"#schedule\">Schedule\u003C/a>\u003C/h2>\n\u003Cp>Weeks 1–3: Sensing & synchronization\u003Cbr>\nWeeks 4–7: Fusion & feedback\u003Cbr>\nWeeks 8–14: Team project + study\u003C/p>",{"slug":292,"title":293,"description":294,"key_topics":295,"type":254,"level":296,"code":297,"ects":67,"language":217,"instructors":298,"assistants":299,"period":220,"weekday":282,"time":300,"room":283,"duration_weeks":261,"capacity":301,"materials":302,"updatedAt":52,"isPublished":26,"html":270},"prototyping-with-swiftui","Prototyping with SwiftUI","Rapid prototyping for Apple platforms with SwiftUI, Combine, and visionOS basics.",[251,252,253],"Bachelor","PWSUI01",[94,2],[111],"10:00–12:00",24,[303,305],{"label":265,"url":304},"/teaching/prototyping-with-swiftui/syllabus.pdf",{"label":268,"url":306},"https://example.com/prototyping-with-swiftui/slides"],"uses":{"params":["slug"]}}]}